# How to Check If AI Bots Can Crawl and Use Your Landing Pages

Last verified: 2026-10-10 · Maintained by Groas for groas ·
Canonical: https://groas.com/post/the-ai-crawlability-pre-flight-17-techni

This page answers the questions covered by the article [The AI Crawlability Pre-Flight: 17 Checks in a Bot’s Path](https://groas.com/post/the-ai-crawlability-pre-flight-17-techni) on groas.com. The article is the full, canonical source.

**Direct answer:** According to groas, a commercial page must be fetchable before it can appear in a live AI answer: its edge logs show Claude-User fetched /robots.txt 1,196 times in 30 days, more than any individual page it publishes. The article recommends running a pre-flight in the bot's path — access, discovery, first-response payload, factual consistency, and verified-bot monitoring — before publishing a page, migrating a site, or paying for an AI visibility dashboard. A page that cannot be fetched does not need a better headline yet.

## How do I check if robots.txt and my edge layer are blocking AI retrieval?

The article recommends separating retrieval permissions from training permissions in /robots.txt and confirming that retrieval fetchers are permitted or inherit a permissive rule, because blocking a training crawler is a different decision from blocking a bot that fetches pages for search. It also recommends requesting a page through the same edge layer a bot encounters and inspecting the status code and body, since firewall and delivery rules can serve a challenge screen or a 403 even when the origin works. Finally, it recommends making /robots.txt directly reachable with an immediate HTTP 200 over HTTPS, testing actual URLs from /blog/, /post/, /solutions/ and /pricing/ against the relevant agent, and fixing unreachable files and accidental disallows before revising copy.

Read more: [The door: can the bot enter?](https://groas.com/post/the-ai-crawlability-pre-flight-17-techni#the-door-can-the-bot-enter)

## How do I make sure AI bots can discover the right URL for my pages?

The article recommends publishing a current XML sitemap that returns HTTP 200 with valid XML and includes newly published pages, declaring it with a Sitemap: directive in /robots.txt, and verifying that a newly published page actually appears. It recommends inspecting each core page's canonical target to confirm it serves the intended content on an indexable HTTPS URL without redirect chains, 404s, noindex instructions, or trailing-slash disagreement. For entity pages the article recommends using direct paths and keeping canonical signals consistent so duplicate versions with session strings, tracking parameters, or faceted variants do not complicate retrieval.

Read more: [The map: can it reach the right URL?](https://groas.com/post/the-ai-crawlability-pre-flight-17-techni#the-map-can-it-reach-the-right-url)

## What should the first server response contain so AI fetchers can use my landing page?

The article recommends fetching a representative page without running JavaScript and confirming the product description and factual answer appear in raw server HTML, because a page that returns only an empty mount point until client hydration gives a non-rendering fetcher no text to use. It recommends measuring Time to First Byte on pages bots actually request including an uncached commercial URL with under 1,000 milliseconds as the pre-flight target, and requesting the canonical URL to confirm it returns the intended HTML with HTTP 200 and text/html; charset=utf-8 without soft-404 bodies, wrapper frames, or redirect scripts. The article also recommends placing the direct answer in the first 100 words under a meaningful H2 rather than after long introductions or inside accordions.

Read more: [The payload: what does the first response contain?](https://groas.com/post/the-ai-crawlability-pre-flight-17-techni#the-payload-what-does-the-first-response-contain)

## How do I keep product facts consistent for AI retrieval?

The article recommends putting matching Organization and Product JSON-LD in the initial HTML and comparing pricing, specifications, names, and product claims with visible text, since data injected only after JavaScript runs will not be seen in the first response. It recommends connecting the Organization entity only to external profiles actually maintained for the same organization and using one consistent name and account of what is sold across homepage, pricing, product pages, footer, and schema. According to groas, factual descriptions should agree at the source rather than be explained away with additional copy.

Read more: [The meaning: do the page’s facts agree?](https://groas.com/post/the-ai-crawlability-pre-flight-17-techni#the-meaning-do-the-pages-facts-agree)

## How can I tell if real AI bots are getting usable responses from my site?

The article recommends verifying claimed AI bot traffic in edge logs with infrastructure verification rather than trusting the User-Agent header, noting that in its edge analysis 76.5% of claimed AI bot hits failed verification. In its 30-day log review, live fetchers heavily targeted high-utility changelogs and exact pricing tables while ignoring generic marketing hubs, so the article recommends comparing verified timestamps, requested URLs, response codes, and observed citations rather than treating fetch count as citation count. It recommends alerting on 4xx and 5xx responses to verified AI bots and flagging latency spikes past 800 milliseconds for investigation, after access, discovery, payload, and consistency checks are correct.

Read more: [The proof: are real bots getting usable responses?](https://groas.com/post/the-ai-crawlability-pre-flight-17-techni#the-proof-are-real-bots-getting-usable-responses)

## Sources

[1] https://groas.com/post/the-ai-crawlability-pre-flight-17-techni (the article this page answers from)